Genetically optimized ANFIS based Intelligent Navigation System

M. Malleswaran, V. Vaidehi, R. A. Joseph
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引用次数: 2

Abstract

Global positioning System (GPS) and Inertial Navigation System (INS) data can be integrated together to provide a reliable navigation. This paper presents an approach of solving GPS/INS data integration problem, without the need of modeling the characteristics of GPS and INS sensors. This approach uses Genetically optimized Adaptive Neuro-Fuzzy Inference System (GANFIS) as an alternative to the conventional Kalman filter approach in which it is mandatory to model the entire system.
基于遗传优化ANFIS的智能导航系统
全球定位系统(GPS)和惯性导航系统(INS)数据可以集成在一起,提供可靠的导航。本文提出了一种不需要对GPS和INS传感器特性建模的情况下,解决GPS/INS数据集成问题的方法。该方法使用遗传优化自适应神经模糊推理系统(GANFIS)作为传统卡尔曼滤波方法的替代方法,其中必须对整个系统进行建模。
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